cmu-argus-2/FSW-mainboard
Apr 2026 – Jun 2026
3 Months active
Languages Used
NonePython
Technical Skills
Code LintingGPS data processingPythonPython developmentPython programmingSoftware Maintenance
Chase Dunaway
PROFILE
Chase Dunaway
Worked on the cmu-argus-2/FSW-mainboard repository, delivering eight features and four bug fixes over three months focused on embedded systems for flight software. Developed modular GPS drivers, improved time synchronization, and streamlined device initialization to enhance reliability and maintainability. Applied Python and backend development skills to refactor time processing, implement robust power management, and ensure accurate data logging. Enhanced code quality through consistent linting and formatting, reducing maintenance overhead. Addressed low-power transitions and device management for CubeSat payloads, supporting mission endurance and data integrity. The work emphasized clean code practices, real-time systems, and hardware integration to meet flight-critical requirements.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
19Total
Bugs
4
Commits
19
Features
8
Lines of code
36,421
Activity Months3
Your Network
23 peopleShared Repositories
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vigneshkeerthivasanxMember
Ankita ChatterjeeMember
Adrian_WalkerMember
AlexisMember
Akshat412Member
Alena LuMember
Amaar QuadriMember
Chase DunawayMember
Derek FanMember
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered a key feature to streamline radio device initialization for the ArgusV4 on the cmu-argus-2/FSW-mainboard platform, focusing on efficiency and reliability. By removing unnecessary lines related to power management in the RADIO device init path, the startup sequence became simpler and more robust, reducing potential failure points and improving overall startup performance. This work enhances readiness for deployment and reduces field risk, contributing to faster time-to-value for the product line.
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered a key feature to streamline radio device initialization for the ArgusV4 on the cmu-argus-2/FSW-mainboard platform, focusing on efficiency and reliability. By removing unnecessary lines related to power management in the RADIO device init path, the startup sequence became simpler and more robust, reducing potential failure points and improving overall startup performance. This work enhances readiness for deployment and reduces field risk, contributing to faster time-to-value for the product line.
June 2026
May 2026
6 Commits • 2 Features
May 1, 2026Month: 2026-05 — Consolidated power management, logging accuracy, and code quality improvements on the cmu-argus-2/FSW-mainboard, delivering reliable low-power transitions, improved data integrity, and maintainable firmware. These changes directly support mission endurance, payload reliability, and faster future enhancements.
May 2026
6 Commits • 2 Features
May 1, 2026Month: 2026-05 — Consolidated power management, logging accuracy, and code quality improvements on the cmu-argus-2/FSW-mainboard, delivering reliable low-power transitions, improved data integrity, and maintainable firmware. These changes directly support mission endurance, payload reliability, and faster future enhancements.
April 2026
12 Commits • 5 Features
Apr 1, 2026April 2026 monthly summary for cmu-argus-2/FSW-mainboard focusing on delivering robust GPS time handling, modular GPS architecture, and reliable time synchronization for flight software. Highlights include performance-oriented time processing refactor, improvements to data logging and timestamp accuracy, and code quality improvements that reduce maintenance overhead and risk. The work achieved measurable reliability and maintainability gains aligned with flight-critical timelines and data integrity requirements.
12 Commits • 5 Features
Apr 1, 2026April 2026 monthly summary for cmu-argus-2/FSW-mainboard focusing on delivering robust GPS time handling, modular GPS architecture, and reliable time synchronization for flight software. Highlights include performance-oriented time processing refactor, improvements to data logging and timestamp accuracy, and code quality improvements that reduce maintenance overhead and risk. The work achieved measurable reliability and maintainability gains aligned with flight-critical timelines and data integrity requirements.
April 2026
Activity
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Quality Metrics
Correctness93.8%
Maintainability91.6%
Architecture91.6%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
NonePython
Technical Skills
Code LintingGPS data processingPythonPython developmentPython programmingSoftware MaintenanceVersion Controlbackend developmentclean code practicescode lintingdebuggingdevice managementdriver developmentembedded systemshardware integration
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